Training Strategy
For training, optimizer is SGD with momentum 0.9, with weight decay 5e-4. We use the DeepLabV2 [1]} with backbone network ResNet-101 [2]} as the feature extractor, and the constant learning rate, i.e. 1.0e-5, is used during the whole training process. The dimension of extracted feature is 800 outputed by the feature extractor, which is used as the input for the meta-learning module.
